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| Abstract : Universiti Pendidikan Sultan Idris |
| Traffic flow is a continuous phenomenon. The irregular patterns in the traffic flow data show the complexity of the system under a variety of internal and external factors restrict and influence. The possibility of making short range forecasting of traffic flow using chaos approach is by investigating the presence of chaotic behaviour. Traffic flow data of four stations located in Selangor, Malaysia were analysed. There were three methods employed in this analysis; (1) phase space plot, (2) Cao method and (3) Lyapunov exponent. The phase space plot can be constructed by phase space. There were two parameters needed in phase space reconstructed; (1) time delay, ? that is calculated by using average mutual information (AMI) and (2) embedding dimension, m that is obtained from Cao method. The traffic flow data were analysed to reveal the existence of chaotic behaviour. Therefore, short range forecasting of traffic flow using chaos approach can be applied to show the suitability of chaos approach to forecast the traffic flow time series data in Malaysia. ? 2021. All rights reserved. |
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